Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance

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Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.

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10 p.

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Sawant, Uttara & Akl, Robert G. February 28, 2018.

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This article is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 63 times. More information about this article can be viewed below.

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  • Main Title: Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance
  • Alternate Title: Adaptive and Non Adaptive LTE Fractional Frequency Reuse Mechanisms Mobility Performance

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Description

Article proposes a performance metric and evaluates an existing adaptation process that dynamically adjusts to optimal network performance determined by Fractional Frequency Reuse (FFR) mechanism with mobile users.

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10 p.

Notes

Abstract: Mobile broadband has gained momentum with the growing demand of user data rates. Long Term Evolution (LTE) technology is the step in mobile communications evolution, developed to satisfy high data rate demand, and meet better spectral efficiency requirements. Effective radio resource management and inter cell interferences are the major challenges. Fractional Frequency Reuse (FFR) is one of the effective interference avoidance mechanisms applied to LTE networks to yield optimal throughput. In this extended paper, we propose a novel performance metric, weighted throughput on user satisfaction, and evaluate an existing adaptation process that dynamically adjusts to optimal network performance determined by FFR mechanism with mobile users. The performance of FFR mechanism with mobility model, adaptation process, and femtocell densification is evaluated and optimized for proposed metric and other metrics. Results optimized by proposed metric show comparatively higher average throughput and lower variance among user throughput.

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  • Advances in Science, Technology and Engineering Systems Journal, 3(1), ASTES Publishers, February 28, 2018, pp. 1-10

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  • Publication Title: Advances in Science, Technology and Engineering Systems Journal
  • Volume: 3
  • Issue: 1
  • Page Start: 511
  • Page End: 520
  • Peer Reviewed: Yes

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  • February 28, 2018

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  • Aug. 3, 2020, 3:07 p.m.

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  • Nov. 14, 2023, 1:41 p.m.

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Sawant, Uttara & Akl, Robert G. Adaptive and Non Adaptive Long Term Evolution Fractional Frequency Reuse Mechanisms Mobility Performance, article, February 28, 2018; (https://digital.library.unt.edu/ark:/67531/metadc1705491/: accessed May 25, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT College of Engineering.

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